How big are the differences in the informal sector wage gap in Argentina? : evidence using quantile regression on panel data

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dc.contributor.MentorSosa Escudero, Walter
dc.creator.AutorRomero, María Noelia
dc.date.accessioned2021-08-18T20:53:05Z
dc.date.available2021-08-18T20:53:05Z
dc.date.issued2019-08
dc.descriptionFil: Romero, María Noelia. Universidad de San Andrés. Departamento de Economía; Argentina.
dc.description.abstractI estimate a quantile regression (QR) to assess informal wage penalties at different points along the conditional wage distribution in Argentina and within the country. I exploit a panel data set from a quarterly household survey from 2016 to 2018 (Encuesta Permanente de Hogares) from the National Institute of Statistics in Argentina, INDEC (Instituto Nacional de Estadistica y Censos de Argentina) and the identifications relays on the cross-sector movers. Results show that the wage gap is bigger for the lower 20% of the distribution than the upper 80% of conditional distribution for the whole country, and this effect is reduced by one third when I consider the individuals' heterogeneity. I find a reversion in the penalty gap appears in Buenos Aires, NOA and NEA, where the lower and upper workers have a higher penalty than the median informal worker. These estimations are robust to the informal definition and highlight the importance of a distribution analysis to account for heterogeneous effects in the labor market.
dc.formatapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10908/18472
dc.languageeng
dc.publisherUniversidad de San Andrés. Departamento de Economía
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleHow big are the differences in the informal sector wage gap in Argentina? : evidence using quantile regression on panel data
dc.typeTesis
dc.typeinfo:eu-repo/semantics/masterThesis
dc.typeinfo:ar-repo/semantics/tesis de maestría
dc.typeinfo:eu-repo/semantics/updatedVersion
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